Mac16,9
Geekbench AI Score
5592
Single Precision Score
9271
Half Precision Score
7143
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alexander116 |
| Upload Date | April 09 2025 02:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
3096
575.7 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18435
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32965
38.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25210
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
3912
311.4 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8173
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4769
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8869
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14835
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10421
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26553
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52826
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39784
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10280
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6025
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6057
104.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9123
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9098
157.2 IPS |
